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Understanding and Interpreting Scatter Plots
Aug 14, 2024
Lecture Notes: Interpreting Scatter Plots
Introduction to Scatter Plots
A scatter plot is a graph used to display values for typically two variables for a set of data.
Points on the scatter plot represent individual data points.
Types of Associations in Scatter Plots
No Association
Definition:
No discernible pattern between the x-axis and y-axis values.
Example: Height vs. Maths marks; no correlation between a person's height and their maths ability.
Positive Association
Definition:
As values on the x-axis increase, values on the y-axis also increase.
Example: Temperature vs. Ice cream sales; higher temperatures lead to increased ice cream sales.
Negative Association
Definition:
As values on the x-axis increase, values on the y-axis decrease.
Example: Temperature vs. Soup sales; higher temperatures lead to decreased soup sales.
Other Associations
Patterns may vary depending on different factors like time of day.
Linear vs. Nonlinear Associations
Linear Association
Definition:
A pattern that can be represented by a straight line.
Nonlinear Association
Definition:
A pattern best represented by a curve or another shape.
Example:
Exponential growth seen in COVID-19 graphs.
Strength of Associations
Strong Association
Data points are close together, showing a clear pattern.
Moderate Association
Data points are more spread out but still show a perceptible pattern.
Weak Association
Data points are scattered with less obvious pattern direction.
Outliers in Scatter Plots
Definition:
Data points that deviate significantly from the overall pattern.
Example: Students who do much homework but have low maths marks, or vice versa.
Practical Interpretation
Use mathematical terminology (e.g., moderate positive association, outliers) to describe and interpret scatter plots.
Interpretation includes assessing the relationship, determining strength, and identifying outliers.
Conclusion
With understanding of these concepts, one can look at a scatter plot and interpret the relationships, including identifying any outliers.
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